The TLU AI Conference is a specialized event organized by Trial Lawyers University, focusing on integrating artificial intelligence into trial practice. Scheduled for February 18–19, 2027, at the Paséa Hotel & Spa in Huntington Beach, California, the conference aims to equip plaintiff attorneys with practical AI tools to enhance their legal operations.
The conference features hands-on labs and live demonstrations covering various AI applications in trial law. Attendees will engage in sessions such as building deposition preparation systems, creating medical chronologies, drafting prompts for trial lawyers, cross-examining AI outputs, conducting live AI focus groups, and automating firm operations from intake to trial.
The event offers networking opportunities, including a rooftop happy hour, and provides 12 CLE hours, including ethics credits, pending approval. The faculty comprises experienced trial lawyers and AI experts, including featured speaker Davin Casely, founder of CG Intelligence.
This conference is ideal for trial lawyers seeking to incorporate AI into their practice, as well as paralegals and operations directors aiming to streamline firm operations using AI tools.
Categories
Speakers(8)
Brian Panish
Trial Lawyer at Record Verdicts
Carl Solomon
Trial Lawyer at TLU Faculty
Davin Casely
The Agentic AI Consultant for Law Firms at CG Intelligence — The Casely Group
Runs a working fleet of AI agents — intake, marketing, finance, case operations — inside real law firms. He appears alongside his second chairs — the only faculty who aren’t human.
Deena Buchanan
Trial Lawyer at TLU Faculty
Nathan Gaffney
Trial Lawyer at TLU Faculty
Randall Hood
Trial Lawyer at TLU Faculty
Shemia Fagan
Trial Lawyer at TLU Faculty
Stephen King
Trial Lawyer at TLU Faculty
Event Details
- Date
- February 18-19, 2027
- 2 days
- Location
- 🇺🇸 Huntington Beach, United States
- Pasea Hotel & Spa
- Pricing
- From $299
- Audience
- Trial lawyers, paralegals, operations directors
- CLE Credits
- 12 CLE hours including 2.0 ethics
- Attendees
- Not specified
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